216 search results - page 11 / 44 » Learning in Gaussian Markov random fields |
IJCAI
2007
15 years 1 months ago
2007
A formula in first-order logic can be viewed as a tree, with a logical connective at each node, and a knowledge base can be viewed as a tree whose root is a conjunction. Markov l...
114
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ICDAR
2009
IEEE
14 years 9 months ago
2009
IEEE
This paper presents a new approach for the binarization of seriously degraded manuscript. We introduce a new technique based on a Markov Random Field (MRF) model of the document. ...
103
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ICIC
2005
Springer
15 years 5 months ago
2005
Springer
Rather than the difficulties of highly non-linear and non-Gaussian observation process and the state distribution in single target tracking, the presence of a large, varying number...
PAMI
2007
14 years 11 months ago
2007
—Recent developments in statistical theory and associated computational techniques have opened new avenues for image modeling as well as for image segmentation techniques. Thus, ...
114
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DAGM
2008
Springer
15 years 1 months ago
2008
Springer
We investigate maximum likelihood parameter learning in Conditional Random Fields (CRF) and present an empirical study of pseudo-likelihood (PL) based approximations of the paramet...